An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)

An algorithm was developed to automate processing of large datasets of Earth remote sensing. The algorithm was developed and implemented in the form of an M-Processor program in the Python programming language using the modules of the ArcGIS Desktop 10.2 software, which allows complex calculations w...

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Bibliographic Details
Published in:Geosystems of Transition Zones
Main Author: Vasily S. Nikonov
Format: Article in Journal/Newspaper
Language:English
Russian
Published: Дальневосточного отделения Российской академии наук, Южно-Сахалинск, Федеральное государственное бюджетное учреждение науки Институт морской геологии и геофизики 2021
Subjects:
sea ice
earth remote sensing
geographic information systems
software
multisensor analyzed sea ice extent – northern hemisphere
Dynamic and structural geology
QE500-639.5
Stratigraphy
QE640-699
Engineering geology. Rock mechanics. Soil mechanics. Underground construction
TA703-712
Petrology
QE420-499
Okhotsk
Sea ice
Online Access:https://doi.org/10.30730/gtrz.2021.5.1.067-071
https://doaj.org/article/331ba611ef6f4ff997d28547b5e4dc25
Description
Summary:An algorithm was developed to automate processing of large datasets of Earth remote sensing. The algorithm was developed and implemented in the form of an M-Processor program in the Python programming language using the modules of the ArcGIS Desktop 10.2 software, which allows complex calculations without spending additional time on programming and reduces the number of manipulations for calculating separate desired characteristics. The implementation of the developed algorithm is considered on the example of ice data processing for the Sea of Okhotsk according to the data of the Multisensor Analyzed Sea Ice Extent – Northern Hemisphere (MASIE-NH) with a spatial resolution of 1 and 4 km and an ice-cover zoning mask.

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